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Zhen-Hua Feng

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zhen-Hua Feng & Yi-Ming Wei & Kai Wang, 2011. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," CEEP-BIT Working Papers 19, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xiangjun Chen & Bo Yan, 2024. "Research on jumps and volatility in China’s carbon market," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-43, February.
    2. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    3. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    4. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    5. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    6. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    7. Gong, Xu & Wen, Fenghua & Xia, X.H. & Huang, Jianbai & Pan, Bin, 2017. "Investigating the risk-return trade-off for crude oil futures using high-frequency data," Applied Energy, Elsevier, vol. 196(C), pages 152-161.
    8. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    9. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    10. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.
    11. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    12. Miao Zhenjian & Kofi Baah Boamah & Xingle Long, 2020. "Research on entropy generation strategy and its application in carbon trading market," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1992-2000, July.
    13. Jamshidi, Movahed & Kebriaei, Hamed & Sheikh-El-Eslami, Mohammad-Kazem, 2018. "An interval-based stochastic dominance approach for decision making in forward contracts of electricity market," Energy, Elsevier, vol. 158(C), pages 383-395.
    14. Bao-jun Tang & Cheng Shen & Yi-fan Zhao, 2015. "Market risk in carbon market: an empirical analysis of the EUA and sCER," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 333-346, February.
    15. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    16. Adediran, Idris A. & Swaray, Raymond, 2023. "Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty," Economic Modelling, Elsevier, vol. 123(C).
    17. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    18. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    19. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    20. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    21. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhai, Kaikai, 2021. "Multiscale and partial correlation networks analysis of risk connectedness in global equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    22. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    23. Shackleton, Ross T. & Angelstam, Per & van der Waal, Benjamin & Elbakidze, Marine, 2017. "Progress made in managing and valuing ecosystem services: a horizon scan of gaps in research, management and governance," Ecosystem Services, Elsevier, vol. 27(PB), pages 232-241.
    24. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Jia, Xiaoliang, 2017. "An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms," Applied Energy, Elsevier, vol. 185(P2), pages 1778-1787.
    25. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    26. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    27. Yanzhi Duan & Chunlei He & Li Yao & Yue Wang & Nan Tang & Zhong Wang, 2023. "Research on Risk Measurement of China’s Carbon Trading Market," Energies, MDPI, vol. 16(23), pages 1-28, December.
    28. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    29. Jarmila Zimmermannová, 2015. "Pilot Analysis of the Behaviour of Companies Within the 3rd Trading Period of the EU ETS in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2213-2220.
    30. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    31. Hong Qiu & Genhua Hu & Yuhong Yang & Jeffrey Zhang & Ting Zhang, 2020. "Modeling the Risk of Extreme Value Dependence in Chinese Regional Carbon Emission Markets," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    32. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    33. Urban, Timothy L. & Chiang, Wen-Chyuan, 2016. "Designing energy-efficient serial production lines: The unpaced synchronous line-balancing problem," European Journal of Operational Research, Elsevier, vol. 248(3), pages 789-801.
    34. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.
    35. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.

  2. Zhen-Hua Feng & Le-Le Zou & Yi-Ming Wei, 2010. "The impact of household consumption on energy use and CO2 emissions in China," CEEP-BIT Working Papers 6, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Dung Tien Nguyen & Thanh Quang Ngo, 2019. "Dynamics of Household-level Energy Access in Vietnam during 2002-2014," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 132-145.
    2. Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    3. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    4. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    5. Zhen Hu & Mei Wang & Zhe Cheng, 2022. "Mapping the knowledge development and trend of household energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6053-6071, May.
    6. Wei, Rui & Zhang, Wencheng & Peng, Shuijun, 2022. "Energy and greenhouse gas footprints of China households during 1995–2019: A global perspective," Energy Policy, Elsevier, vol. 164(C).
    7. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    8. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    9. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    10. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    11. Noriza Mohd Saad & Erna Farina Mohamed & Mohamad Taufik Mohd Arshad & Ahmad Lutfi Mohayiddin, 2023. "Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 175-191, March.
    12. Jiansheng Qu & Tek Maraseni & Lina Liu & Zhiqiang Zhang & Talal Yusaf, 2015. "A Comparison of Household Carbon Emission Patterns of Urban and Rural China over the 17 Year Period (1995–2011)," Energies, MDPI, vol. 8(9), pages 1-21, September.
    13. Kopp, Thomas & Nabernegg, Markus, 2022. "Inequality and Environmental Impact – Can the Two Be Reduced Jointly?," Ecological Economics, Elsevier, vol. 201(C).
    14. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    15. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    16. Wenwen Wang & Ming Zhang, 2015. "Direct and indirect energy consumption of rural households in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1693-1705, December.
    17. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    18. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    19. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    20. Liu, Lan-Cui & Wu, Gang, 2013. "Relating five bounded environmental problems to China's household consumption in 2011–2015," Energy, Elsevier, vol. 57(C), pages 427-433.
    21. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    22. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    23. Xu Chu & Yiying Jin & Xuan Wang & Xiankun Wang & Xiaoqian Song, 2022. "The Evolution of the Spatial-Temporal Differences of Municipal Solid Waste Carbon Emission Efficiency in China," Energies, MDPI, vol. 15(11), pages 1-23, May.
    24. Zhaohua Wang & Chen Wang & Jianhua Yin, 2015. "Strategies for addressing climate change on the industrial level: affecting factors to CO 2 emissions of energy-intensive industries in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 303-317, February.
    25. Lan-Cui Liu & Gang Wu & Jin-Nan Wang & Yi-Ming Wei, 2010. "China's carbon emissions from urban and rural households during 1992-2007," CEEP-BIT Working Papers 12, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    26. Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
    27. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    28. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    29. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    30. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    31. Feng Dong & Bolin Yu & Yifei Hua & Shuaiqing Zhang & Yue Wang, 2018. "A Comparative Analysis of Residential Energy Consumption in Urban and Rural China: Determinants and Regional Disparities," IJERPH, MDPI, vol. 15(11), pages 1-19, November.
    32. Jin Fan & Shanyong Wang & Yanrui Wu & Jun Li & Dingtao Zhao, 2015. "Buffer Effect and Price Effect of a Personal Carbon Trading Scheme," Economics Discussion / Working Papers 15-07, The University of Western Australia, Department of Economics.
    33. Zhang, Rui & Wei, Taoyuan & Glomsrød, Solveig & Shi, Qinghua, 2014. "Bioenergy consumption in rural China: Evidence from a survey in three provinces," Energy Policy, Elsevier, vol. 75(C), pages 136-145.
    34. Xie Zeqiong & He Junfei, 2022. "Decomposition and sector aggregation analysis of indirect household carbon emission indicators: a case study of Guangdong Province in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6903-6924, May.
    35. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    36. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    37. Ming Zhang & Yan Song & Lixia Yao, 2015. "Exploring commercial sector building energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2673-2682, February.
    38. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    39. Jia-Bao Liu & Xin-Bei Peng & Jing Zhao, 2023. "Analyzing the spatial association of household consumption carbon emission structure based on social network," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-34, March.
    40. Tang, Ling & Shi, Jiarui & Yu, Lean & Bao, Qin, 2017. "Economic and environmental influences of coal resource tax in China: A dynamic computable general equilibrium approach," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 34-44.
    41. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2012. "CO2 emissions and economic development: China's 12th five-year plan," Energy Policy, Elsevier, vol. 42(C), pages 468-475.
    42. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    43. Shu Yang & Dingtao Zhao & Yanrui Wu & Jin Fan, 2013. "Regional Variation in Carbon Emissions and its Driving Forces in China: An Index Decomposition Analysis," Energy & Environment, , vol. 24(7-8), pages 1249-1270, December.
    44. Xunpeng Shi & Tsun Se Cheong & Jian Yu & Xiaoguang Liu, 2021. "Quality of Life and Relative Household Energy Consumption in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(5), pages 127-147, September.
    45. Namazkhan, Maliheh & Albers, Casper & Steg, Linda, 2019. "The role of environmental values, socio-demographics and building characteristics in setting room temperatures in winter," Energy, Elsevier, vol. 171(C), pages 1183-1192.
    46. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    47. Garg, Amit & Shukla, P.R. & Maheshwari, Jyoti & Upadhyay, Jigeesha, 2014. "An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India," Energy Policy, Elsevier, vol. 66(C), pages 568-584.
    48. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    49. Le Yang & Zhongqi Liang & Wentao Yao & Hongmin Zhu & Liangen Zeng & Zihan Zhao, 2023. "What Are the Impacts of Urbanisation on Carbon Emissions Efficiency? Evidence from Western China," Land, MDPI, vol. 12(9), pages 1-18, August.
    50. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    51. Balachandra, P., 2011. "Dynamics of rural energy access in India: An assessment," Energy, Elsevier, vol. 36(9), pages 5556-5567.
    52. Tao Lin & Yunjun Yu & Xuemei Bai & Ling Feng & Jin Wang, 2013. "Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    53. Florian Marcel Nuţă & Alina Cristina Nuţă & Cristina Gabriela Zamfir & Stefan-Mihai Petrea & Dan Munteanu & Dragos Sebastian Cristea, 2021. "National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO 2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data," Energies, MDPI, vol. 14(10), pages 1-23, May.
    54. Yuan, Rong & Wang, Juan, 2021. "Impacts of poverty alleviation on household GHG footprints in China," Energy Economics, Elsevier, vol. 103(C).
    55. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 353-379, November.
    56. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    57. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    58. Chunhong Sheng & Yun Cao & Bing Xue, 2018. "Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    59. Bestari Dwi Handayani & Heri Yanto & Amin Pujiati & Abdul Rahim Ridzuan & J. S. Keshminder & Mohd Shahidan Shaari, 2022. "The Implication of Energy Consumption, Corruption, and Foreign Investment for Sustainability of Income Distribution in Indonesia," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    60. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    61. Yao, Xi-Long & Liu, Yang & Yan, Xiao, 2014. "A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China," Energy Policy, Elsevier, vol. 73(C), pages 512-518.
    62. Yamei Chen & Lu Jiang, 2022. "Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    63. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    64. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    65. Yong Yang & Junsong Jia & Adam T. Devlin & Yangming Zhou & Dongming Xie & Min Ju, 2020. "Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China," Energies, MDPI, vol. 13(17), pages 1-21, August.
    66. Yin, Yanhong & Mizokami, Shoshi & Maruyama, Takuya, 2013. "An analysis of the influence of urban form on energy consumption by individual consumption behaviors from a microeconomic viewpoint," Energy Policy, Elsevier, vol. 61(C), pages 909-919.
    67. Zhang, Weishi & Xu, Ying & Wang, Can & Streets, David G., 2022. "Assessment of the driving factors of CO2 mitigation costs of household biogas systems in China: A LMDI decomposition with cost analysis model," Renewable Energy, Elsevier, vol. 181(C), pages 978-989.
    68. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    69. Age Poom & Rein Ahas & Kati Orru, 2014. "The Impact of Residential Location and Settlement Hierarchy on Ecological Footprint," Environment and Planning A, , vol. 46(10), pages 2369-2384, October.
    70. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    71. Xibao Xu & Yan Tan & Shuang Chen & Guishan Yang & Weizhong Su, 2015. "Urban Household Carbon Emission and Contributing Factors in the Yangtze River Delta, China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    72. Yanan Wang & Wei Chen & Minjuan Zhao & Bowen Wang, 2019. "Analysis of the influencing factors on CO2 emissions at different urbanization levels: regional difference in China based on panel estimation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(2), pages 627-645, March.
    73. Hamamoto, Mitsutsugu, 2013. "Energy-saving behavior and marginal abatement cost for household CO2 emissions," Energy Policy, Elsevier, vol. 63(C), pages 809-813.
    74. Genovaitė Liobikienė & Justina Mandravickaitė, 2013. "Convergence of new members of the EU: changes in household consumption expenditure structure regarding environmental impact during the prosperous period," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 407-427, April.
    75. Ming Zhang & Peng Li, 2015. "Analyzing the impact of urbanization on energy consumption in Jiangsu Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 177-190, March.
    76. Pedro J. Zarco-Periñán & Fco Javier Zarco-Soto & Irene M. Zarco-Soto & José L. Martínez-Ramos & Rafael Sánchez-Durán, 2022. "CO 2 Emissions in Buildings: A Synopsis of Current Studies," Energies, MDPI, vol. 15(18), pages 1-10, September.
    77. Salina Daud & Wan Noordiana Wan Hanafi & Bamidele Victor Ayodele & Jegatheesan Rajadurai & Siti Indati Mustapa & Nurul Nadiah Ahmad & Wan Mohammad Taufik Wan Abdullah & Siti Norhidayah Toolib & Maryam, 2023. "Residential Consumers’ Lifestyle Energy Usage and Energy Efficiency in Selected States in Malaysia," Energies, MDPI, vol. 16(8), pages 1-18, April.
    78. Xueting Jin & Yu Li & Dongqi Sun & Jinzhou Zhang & Ji Zheng, 2019. "Factors Controlling Urban and Rural Indirect Carbon Dioxide Emissions in Household Consumption: A Case Study in Beijing," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    79. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
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    83. Xiaoyu Liu & Xian’en Wang & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "Why Are the Carbon Footprints of China’s Urban Households Rising? An Input–Output Analysis and Structural Decomposition Analysis," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
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    86. Jing Cao, Mun S. Ho, and Huifang Liang, 2016. "Household energy demand in Urban China: Accounting for regional prices and rapid income change," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    87. Ratneswary Rasiah & Sotheeswari Somasundram & Geetha Subramaniam, 2018. "A Multivariate Cointegration Analysis of the Macroeconomic Determinants of Carbon Emissions in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 202-208.
    88. Tao Ding & Yadong Ning & Yan Zhang, 2017. "Estimation of greenhouse gas emissions in China 1990–2013," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(6), pages 1097-1115, December.
    89. Wang, Bing & Liang, Xiao-Jie & Zhang, Hao & Wang, Lu & Wei, Yi-Ming, 2014. "Vulnerability of hydropower generation to climate change in China: Results based on Grey forecasting model," Energy Policy, Elsevier, vol. 65(C), pages 701-707.
    90. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
    91. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    92. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    93. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
    94. Zhaohua Wang & Bin Zhang & Jianhua Yin, 2012. "Determinants of the increased CO 2 emission and adaption strategy in Chinese energy-intensive industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 17-30, May.
    95. Zhang, Hongwu & Shi, Xunpeng & Wang, Keying & Xue, Jinjun & Song, Ligang & Sun, Yongping, 2020. "Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey," Energy Economics, Elsevier, vol. 86(C).
    96. Fikru, Mahelet G. & Kisswani, Khalid M., 2023. "Environmental impacts of household energy use in ASEAN-5 countries: Are there asymmetric effects?," Energy Policy, Elsevier, vol. 182(C).
    97. Long, Yin & Dong, Liang & Yoshida, Yoshikuni & Li, Zhaoling, 2018. "Evaluation of energy-related household carbon footprints in metropolitan areas of Japan," Ecological Modelling, Elsevier, vol. 377(C), pages 16-25.
    98. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
    99. Wang, Juan & Zhang, Kezhong, 2014. "Convergence of carbon dioxide emissions in different sectors in China," Energy, Elsevier, vol. 65(C), pages 605-611.
    100. Jiang, Ping & Yang, Hufang & Li, Hongmin & Wang, Ying, 2021. "A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity," Energy, Elsevier, vol. 219(C).
    101. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    102. Li, Fangyi & Song, Zhouying & Liu, Weidong, 2014. "China's energy consumption under the global economic crisis: Decomposition and sectoral analysis," Energy Policy, Elsevier, vol. 64(C), pages 193-202.
    103. Yingzi Chen & Wanwan Yang & Yaqi Hu, 2022. "Internet Development, Consumption Upgrading and Carbon Emissions—An Empirical Study from China," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    104. Fang Shen & Zibibula Simayi & Shengtian Yang & Yusuyunjiang Mamitimin & Xiaofen Zhang & Yunyi Zhang, 2023. "A Bibliometric Review of Household Carbon Footprint during 2000–2022," Sustainability, MDPI, vol. 15(7), pages 1-25, April.
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    106. Sania Malik, 2021. "Residential Electricity Consumers and Increasing Block Pricing Policy in Pakistan: Evidence Based on Household Level Primary Data," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 80-87.
    107. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).

  3. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    2. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    3. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    4. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    5. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    6. Gong, Xu & Lin, Boqiang, 2019. "Modeling stock market volatility using new HAR-type models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 194-211.
    7. Corinne Chaton & Anna Créti & Benoit Peluchon, 2013. "Banking and backloading emission permits," Working Papers hal-00915944, HAL.
    8. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    9. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    10. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    11. Jiaxin Han & Enkhjargal Dalaibaatar, 2023. "A Study on the Influencing Factors of China’s Ecological Footprint Based on EEMD–GeoDetector," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    12. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    13. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.

  4. Zhen-Hua Feng & Le-Le Zou & Yi-Ming Wei, 2009. "Carbon price volatility: Evidence from EU ETS," CEEP-BIT Working Papers 4, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Chen, Yingqi & Ba, Shusong & Yang, Qing & Yuan, Tian & Zhao, Haibo & Zhou, Ming & Bartocci, Pietro & Fantozzi, Francesco, 2021. "Efficiency of China’s carbon market: A case study of Hubei pilot market," Energy, Elsevier, vol. 222(C).
    3. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    4. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    5. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    6. Agustín García & Agustín García & Miguel A. Jaramillo-Morán, 2020. "Short-term European Union Allowance price forecasting with artificial neural networks," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 261-275, September.
    7. Yuanfeng Hu & Yixiang Tian & Luping Zhang, 2023. "Green Bond Pricing and Optimization Based on Carbon Emission Trading and Subsidies: From the Perspective of Externalities," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    8. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    10. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    11. Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    12. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    13. Miguel A. Jaramillo-Morán & Agustín García-García, 2019. "Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors," Energies, MDPI, vol. 12(23), pages 1-18, November.
    14. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    15. Fu, Yang & Zheng, Zeyu, 2020. "Volatility modeling and the asymmetric effect for China’s carbon trading pilot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    16. Marc Lamphiere & Jonathan Blackledge & Derek Kearney, 2021. "Carbon Futures Trading and Short-Term Price Prediction: An Analysis Using the Fractal Market Hypothesis and Evolutionary Computing," Mathematics, MDPI, vol. 9(9), pages 1-32, April.
    17. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    18. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    19. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    20. Qingjie Zhou & Panpan Zhu & Yinpeng Zhang, 2023. "Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention," Energies, MDPI, vol. 16(2), pages 1-22, January.
    21. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    22. Fan, Xinghua & Lv, Xiangxiang & Yin, Jiuli & Tian, Lixin & Liang, Jiaochen, 2019. "Multifractality and market efficiency of carbon emission trading market: Analysis using the multifractal detrended fluctuation technique," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    23. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    24. Corinne Chaton & Anna Créti & Benoit Peluchon, 2013. "Banking and backloading emission permits," Working Papers hal-00915944, HAL.
    25. Zheng, Zeyu & Xiao, Rui & Shi, Haibo & Li, Guihong & Zhou, Xiaofeng, 2015. "Statistical regularities of Carbon emission trading market: Evidence from European Union allowances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 9-15.
    26. Fan, Xinghua & Li, Shasha & Tian, Lixin, 2016. "Complexity of carbon market from multi-scale entropy analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 79-85.
    27. Carlo Mari, 2020. "Stochastic NPV Based vs Stochastic LCOE Based Power Portfolio Selection Under Uncertainty," Energies, MDPI, vol. 13(14), pages 1-18, July.
    28. Sun, Wei & Zhang, Junjian, 2022. "A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction," Energy, Elsevier, vol. 253(C).
    29. Zhao, Xin-gang & Wu, Lei & Li, Ang, 2017. "Research on the efficiency of carbon trading market in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1-8.
    30. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    31. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    32. Tsai, Ming-Tang & Yen, Chih-Wei, 2011. "The influence of carbon dioxide trading scheme on economic dispatch of generators," Applied Energy, Elsevier, vol. 88(12), pages 4811-4816.
    33. Bao-jun Tang & Cheng Shen & Yi-fan Zhao, 2015. "Market risk in carbon market: an empirical analysis of the EUA and sCER," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 333-346, February.
    34. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    35. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    36. Mari, Carlo, 2014. "Hedging electricity price volatility using nuclear power," Applied Energy, Elsevier, vol. 113(C), pages 615-621.
    37. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    38. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    39. Bangzhu Zhu, 2012. "A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network," Energies, MDPI, vol. 5(2), pages 1-16, February.
    40. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    41. Carlo Mari, 2018. "CO 2 Price Volatility Effects on Optimal Power System Portfolios," Energies, MDPI, vol. 11(7), pages 1-18, July.
    42. Rita Sousa & Luís Francisco Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon and Energy Prices: Surfing the Wavelets of California," NIPE Working Papers 19/2014, NIPE - Universidade do Minho.
    43. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    44. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Jia, Xiaoliang, 2017. "An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms," Applied Energy, Elsevier, vol. 185(P2), pages 1778-1787.
    45. Li, Guangyao & Yang, Jin & Chen, Dingjiang & Hu, Shanying, 2017. "Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020," Applied Energy, Elsevier, vol. 195(C), pages 837-849.
    46. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    47. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    48. George A. Gonzalez, 2016. "Transforming Energy: Solving Climate Change with Technology Policy . New York : Cambridge University Press . 360 pages. ISBN 9781107614970, $29.99 paperback. Anthony Patt , 2015 ," Review of Policy Research, Policy Studies Organization, vol. 33(1), pages 111-113, January.
    49. Mu, Yaqian & Evans, Samuel & Wang, Can & Cai, Wenjia, 2018. "How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China," Applied Energy, Elsevier, vol. 227(C), pages 403-414.
    50. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    51. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    52. Claudia Kettner & Daniela Kletzan-Slamanig & Angela Köppl, 2015. "The EU Emission Trading Scheme: sectoral allocation and factors determining emission changes," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(1), pages 1-14, March.
    53. García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2013. "Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities," Applied Energy, Elsevier, vol. 101(C), pages 363-375.
    54. Palao, Fernando & Pardo, Angel, 2012. "Assessing price clustering in European Carbon Markets," Applied Energy, Elsevier, vol. 92(C), pages 51-56.
    55. Carlo Lucheroni & Carlo Mari, 2021. "Internal hedging of intermittent renewable power generation and optimal portfolio selection," Annals of Operations Research, Springer, vol. 299(1), pages 873-893, April.
    56. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    57. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Masui, Toshihiko & Tian, Xu, 2016. "Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 1114-1122.
    58. Xintong Wu & Zhendong Li & Fangcheng Tang, 2022. "The Effect of Carbon Price Volatility on Firm Green Transitions: Evidence from Chinese Manufacturing Listed Firms," Energies, MDPI, vol. 15(20), pages 1-11, October.
    59. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
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Articles

  1. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    See citations under working paper version above.
  2. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
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  3. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "Carbon price volatility: Evidence from EU ETS," Applied Energy, Elsevier, vol. 88(3), pages 590-598, March.
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  4. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2011. "How does carbon price change? Evidences from EU ETS," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 132-144.
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